Bulletin of the American Physical Society
60th Annual Meeting of the APS Division of Plasma Physics
Volume 63, Number 11
Monday–Friday, November 5–9, 2018; Portland, Oregon
Session JP11: Poster Session IV: Education and Outreach; Undergraduate or High School Research; Plasma technology, Fusion reactor Nuclear and Materials Science; Propulsion; Materials Interfaces (2:00pm-5:00pm)
Tuesday, November 6, 2018
OCC
Room: Exhibit Hall A1&A
Abstract ID: BAPS.2018.DPP.JP11.6
Abstract: JP11.00006 : JupyterPIC: Reproducible research and education through the integration of plasma simulation software with Juptyer notebooks*
Presenter:
Benjamin Winjum
(Univ of California - Los Angeles)
Authors:
Viktor K Decyk
(Univ of California - Los Angeles)
Benjamin Winjum
(Univ of California - Los Angeles)
Weiming An
(Univ of California - Los Angeles)
Archis Joglekar
(Univ of California - Los Angeles, Polymath Research Inc.)
Roman Lee
(Univ of California - Los Angeles)
Kyle Glen Miller
(Univ of California - Los Angeles)
Frank Shih-Yu Tsung
(Univ of California - Los Angeles)
Han Wen
(Univ of California - Los Angeles)
Yujian Zhao
(Univ of California - Los Angeles)
Warren B Mori
(Univ of California - Los Angeles)
Computer simulations offer tremendous opportunities for studying plasmas, both for research and education. Nevertheless, users must navigate codes and software libraries, determine how to best set up the desired simulation, wrangle output into meaningful plots, and sometimes confront a significant cyberinfrastructure. We have begun using Jupyter notebooks integrated with particle-in-cell codes as a tool to document research and instruct students. The Jupyter notebook is an excellent way to document science with a combination of text, simulation, and analysis, and we envision building a repository of notebooks that reproduce results from classic research articles and that provide external users with the option to analyze results from current research. In addition, we have configured a JupyterHub and written educational notebooks for students to run kinetic plasma software and analyze results inside a Web-based environment without needing to learn or manage the underlying software and computing cyberinfrastructure. We envision that this work could be beneficial to many different communities of students and scientists and easily extendible to other plasma software.
*Supported by NSF under Grant ACI-1339893 and by the UCLA Institute for Digital Research and Education.
To cite this abstract, use the following reference: http://meetings.aps.org/link/BAPS.2018.DPP.JP11.6
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